Program certificate from Purdue University and Simplilearn
Become eligible for a membership at the Purdue University Alumni Association
Live classes on the latest topics such as generative AI, prompt engineering and more
25+ hands-on projects and 3 capstone projects with integrated labs
Curriculum delivered in live classes by industry experts
Masterclasses by the eminent Purdue faculty and industry-specialists from IBM
Strengthen your resume and professional profile with exclusive insider tips
Highlight your profile to recruiters and stand out in the job market
A machine learning engineer automates predictive models for suggested searches, virtual assistants, and translation applications that use algorithms to make precise predictions and fix issues.
Discover the principles of automation, analysis, and much more from the AI ML Course, which is offered in collaboration with Purdue University. Begin your AI adventure by taking the AI and ML course on statistics and intelligent computing.
This course helps you establish a firm foundation in mathematical and statistical principles. It focuses on enhancing critical thinking, problem-solving, and data analysis abilities to support informed decision-making and the application of relevant mathematical and statistical techniques in various industry contexts. This course is a starting point for this program.
Acquire essential Python skills that you will use throughout the program. Leverage Python to implement algorithms, conduct data analysis, and construct intelligent systems effectively and efficiently.
Kickstart your learning by getting an understanding of the Python language and its libraries, writing scripts using the Jupyter-based lab environment with these AI ML course.
Designed by IBM, this course explores using Python for data science. You will learn how to write Python scripts and conduct critical hands-on data analysis using a Jupyter-based lab environment.
This course explores diverse machine learning types and their practical applications. You will study the machine learning pipeline and dive into supervised learning, including regression models and classification algorithms. You will gain experience with unsupervised learning, focusing on clustering techniques and ensemble modeling. Additionally, you will evaluate frameworks like TensorFlow and Keras and gain hands-on experience with PyTorch to build a recommendation engine.
Take your machine learning skills to the next level in this course by understanding deep learning with TensorFlow and Keras. You will gain proficiency in deep learning concepts, enabling you to construct artificial neural networks and navigate through layers of data abstraction. By unlocking the potential of data, this course prepares you for new frontiers in Artificial Intelligence.
Explore the basics and practical use cases of deep learning and learn how it differs from machine learning. Topics covered include neural networks, forward/backward propagation, TensorFlow 2, Keras, performance enhancement, model interpretability, CNNs, transfer learning, object detection, RNNs, autoencoders, and PyTorch.
This course provides a comprehensive understanding of the latest AI topics, such as generative AI, prompt engineering, and ChatGPT. You will gain practical experience and know-how of what they are and how to leverage them for different business applications. You will also explore prompt engineering and its role in generating desired outputs.
Implement the skills you will gain throughout this program in this capstone project. You will solve industry-specific challenges by leveraging various AI and ML tools and techniques learned in the program modules. This project will help you showcase your new expertise to potential employers.
Pay in InstallmentsAs low as
You can pay monthly installments using Affirm, Splitit, Climb Credit and Klarna.These plans are offered with low APR and no hidden fees.
Tell us why you’d want to do this AI and ML Course
An admission panel will shortlist candidates based on their application
Selected candidates start the AI and ML Course in 1-2 weeks